Triple

T11710898
Position Surface form Disambiguated ID Type / Status
Subject Nicolas Sarkozy E278370 entity
Predicate familyName P18 FINISHED
Object Sarközy de Nagy-Bocsa
Sarközy de Nagy-Bocsa is the Hungarian-origin aristocratic family name of former French president Nicolas Sarkozy.
E941966 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sarközy de Nagy-Bocsa | Statement: [Nicolas Sarkozy, familyName, Sarközy de Nagy-Bocsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarközy de Nagy-Bocsa
Context triple: [Nicolas Sarkozy, familyName, Sarközy de Nagy-Bocsa]
  • A. Bulcsú
    Bulcsú was a prominent 10th-century Hungarian chieftain and military leader known for his role in the Magyar raids into Western Europe.
  • B. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • C. Miklós
    Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
  • D. Várkonyi
    Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
  • E. Kállay
    Kállay is a Hungarian surname most notably associated with Miklós Kállay, who served as Prime Minister of Hungary during World War II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sarközy de Nagy-Bocsa
Triple: [Nicolas Sarkozy, familyName, Sarközy de Nagy-Bocsa]
Generated description
Sarközy de Nagy-Bocsa is the Hungarian-origin aristocratic family name of former French president Nicolas Sarkozy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarközy de Nagy-Bocsa
Target entity description: Sarközy de Nagy-Bocsa is the Hungarian-origin aristocratic family name of former French president Nicolas Sarkozy.
  • A. Bulcsú
    Bulcsú was a prominent 10th-century Hungarian chieftain and military leader known for his role in the Magyar raids into Western Europe.
  • B. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • C. Miklós
    Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
  • D. Várkonyi
    Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
  • E. Kállay
    Kállay is a Hungarian surname most notably associated with Miklós Kállay, who served as Prime Minister of Hungary during World War II.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49f072c81909c6a964a92e5bc0c completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8374e6cc8190bba7f2f3ca6f4de9 completed April 27, 2026, 3:40 p.m.
NEDg Description generation batch_69ef9b68309081909f3f614efeeb2ab1 completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd6aba82c81909ff22e6b26db3cfe completed April 27, 2026, 9:35 p.m.
Created at: April 8, 2026, 9:40 p.m.